THANKS FOR VISIT ON MY PRESENTATION.

1. CLUSTER COMPUTING
PREPARED BY:-
AKASH M SHAH
&
KEYUR AADESARA
(5TH SEM CE)

2.  High performance computing
 High throughput computing
 HPC, and HTC
 Parallel algorithms
 Software technologies
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3. :
1. Multiple High Performance Computers
2. Operating Systems.
A.Linux B. Microsoft NT
3. High Performance Networks.
4. Network Interface Card.
5. Parallel Programming
Environments &tools.

4. CONTENTS
 Introduction
 Architecture
 History
 Application
 Advantages
 Disadvantages

5. What is cluster computing?
cluster computing is the
technique of linking two
or more computers into
a network (usually through
a local area network)
inorder to take advantage
of the Parallel processing
power of those computers.

6.  The clustering model can provide both HA &
HP, and also manageability, scalability, &
affordability
 Typically homogeneous, tightly
coupled, nodes trust each other.
 As number of h/w components rises, so
does the probability of failure.
 Increasing probability of fault occurrence
for long-running applications.

7.  Improve the operating speed
ofprocessors & other components.
 Connect multiple processors
together & coordinate their
computational efforts.
allow the sharing of a computational
task among multiple processors

8. A user submits a job to the head node.
The job identifies the application to run on
the cluster.
The job scheduler on the head node
assigns each task defined by the job to a
node and then starts each application
instance on the assigned node.
Results from each of the application
instances are returned to the client via files
or databases.

10.  Cluster computing system contract by IBM in
the 1950s based on the MIT
Whirlwind computer architecture.
 During the decade of the 1980s, increased
interest in the potential of cluster computing
was marked by important experiments in
research and industry.
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11. High Availability Clusters
Load-balancing Clusters
High-performance Clusters

12. The clusters are designed to maintain
redundant nodes that can act as backup
systems in the event of failure.
The minimum number of nodes in a HA
cluster is two - one active and one
redundant - though most HA clusters will
use considerably more nodes.

13. HIGH AVAILABILITY CLUSTER

14.  Load-balancing clusters are
extremely useful for those
working with limited IT
budgets.
 Load-balancing clusters
operate by routing all work
through one or more
load-balancing front-end
nodes.

15. HPC clusters are
designed to exploit
parallel processing
power of multiple
nodes.

16.  Ethernet
 10 Mbps obsolete
 100 Mbps almost obsolete
 1000 Mbps standard
 Protocols
 TCP/IP
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17. July 1999
1000 nodes
Used for genetic algorithm
research by John Koza,
Stanford University
www.genetic-
programming.com/
Mateti-Everything-About-Linux 19

19. IBM BlueGene, 2007
Memory: 73728 GB
Interconnect: Proprietary
PowerPC 440
106,496 nodes
478.2 Tera FLOPS
Mateti-Everything-About-Linux 21

20. There are three primary categories of
applications that use parallel
clusters.
1.Compute intensive application.
2.Data or i/o intensive applicaion.
3.Transaction intensive application.

21. High Performance
Expandability
Scalability: the resources are
distributed in case of Cluster
Computing.
 Easy to upgrade and maintain.
High Availability

22.  Software: difficult to develop software
for
distributed systems.
 Network:- saturation, transmissions.
 Security: easy access also applies to
secrete
data.

23. Solve parallel processing paradox .
Clusters based supercomputers can be
seen everywhere!
New trends in hardware and software
tech-nologies are likely to make clusters
more promising and fill SSI (Single System
Image)gap.

24. The Grid is a large system of
computing resources that performs
tasks and provides to users a
single point of access, commonly
based on the World Wide Web
interface, to these distributed
resources.
Major Grid projects include NASA’s
Information Power Grid, two NSF Grid
projects (NCSA Alliance’s Virtual

25. http://www.ieeetfcc.org/
http://lcic.org/
http://beowulf.org/
http://linuxclusters.com/
Sun Microsystems -
http://www.sun.com/

27. REFRERENCES